The network behind spatio-temporal patterns: building low-complexity retinal models in CNN based on morphology, pharmacology and physiology

DOI10.1002/CTA.151zbMath1006.92013OpenAlexW2165974564MaRDI QIDQ2775758

Erik Nemeth, Botond M. Roska, Frank S. Werblin, Csaba Rekeczky

Publication date: 12 March 2003

Published in: International Journal of Circuit Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cta.151

zbMATH Keywords

cellular neural networksspatio-temporal patternsCNN universal machineinner retinaouter retinaretinal modelling

Mathematics Subject Classification ID

Neural biology (92C20) Physiology (general) (92C30)

Related Items (4)

A CNN framework for modeling parallel processing in a mammalian retina ⋮ On the implementation of linear diffusion in transconductance‐based cellular nonlinear networks ⋮ IMPLEMENTING THE MULTILAYER RETINAL MODEL ON THE COMPLEX-CELL CNN-UM CHIP PROTOTYPE ⋮ PARALLEL VISUAL PROCESSING: A TUTORIAL OF RETINAL FUNCTION

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• Cellular neural networks with non-linear and delay-type template elements and non-uniform grids
• The CNN paradigm
• The use of CNN models in the subcortical visual pathway
• Shunting inhibitory cellular neural networks: derivation and stability analysis
• The CNN universal machine: an analogic array computer

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